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Assessment on characteristics of LUCC process based on complex network in Modern Yellow River Delta, Shandong Province of China

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Abstract

Research on land use cover change (LUCC) has reached a mature stage and has formed a relatively complete scientific system. However, most studies analyzed the LUCC process from the view of land use types ignoring the integrality and systematicness of the land use system, which brought certain constraints to understanding the complexity and systematicness of land use process scientifically. Using the Modern Yellow River Delta (MYRD) of China as the study area, this research introduced the complex network analysis method to the study of the LUCC process by using 9 periods of land use data between 1976 and 2014 to build 8 stages of complex networks. The values of node degree, betweenness, changing proportions, and average shortest path in the networks were calculated to identify the key land use types, changing models of land use types, and the stability of land use system. Additionally, main parts of complex networks of the period from 1976 to 1995 and the period from 1995 to 2014 were selected to evaluate the changing characteristics of the LUCC process. The results indicated the area and proportion of natural wetland kept reducing, but the area and proportion of artificial wetland or non-wetland continued rising. The bare land, reed, bush, and cultivated land were the key land use types of the LUCC process. In the past 38 years, beach, bare land, reed and bush had been the output types, and the building land and salt pan had been the input types. The LUCC process has been a transfer process of natural wetland to artificial wetland and non-wetland in the past 38 years, which could be divided into land accretion process (1976 to 1995) and construction process (1995 to 2014). The land ecosystem was unstable for the period from 1990 to 2006.

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References

  • Andrew RB, Jill LCH, Anthony DC (2015) Characterizing land-use change over space and time: applying principal components analysis in the Brazilian Legal Amazon. J Land Use Sci 10(1):19–37

    Article  Google Scholar 

  • Arnon K, Qin ZH, Wu B, Natalya P, Feng Y (2014) Spatio-temporal dynamics of land-use and land-cover in the Mu Us Sandy Land, China, Using the Change Vector Analysis. Remote Sens 6(10):9316–9339

    Article  Google Scholar 

  • Brian M (2015) Biodiversity: land use matters. Nature 520:38–39

    Article  Google Scholar 

  • Bruce RE (2010) A mathematical framework for earth science data provenance tracing. Earth Sci Inf 3(3):167–196

    Article  Google Scholar 

  • Chen GR (2013) Problems and challenges in control theory under complex dynamical network environments. Acta Autom Sin 39(4):312–321

    Article  Google Scholar 

  • Chen L, Li XW (2012) The ecological sensitivity evaluation in Yellow River Delta National Natural Reserve. Clean Soil Air Water 40(10):1197–1207

    Article  Google Scholar 

  • Chen F, Mao F (2010) Discussion on the evolution laws and model of use structure of village and town Land. J Anhui Agric Sci 38(12):6373–6378

    Google Scholar 

  • Chen L, Wang GX, Wang HL (2006) Spatial- temporal characteristics of LUCC in Zoige County using Landsat TM sensor data. Remote Sens Technol Appl 21(4):277–283 (in Chinese with English abstract)

    Google Scholar 

  • Chris CT, Robert HK (2013) Influence of hydrological regime on wetland attenuation of diffuse agricultural nitrate losses. Ecol Eng 56:79–88

    Article  Google Scholar 

  • Eric FL, Helmut JG, Erika L (2003) Dynamics of land-use and land-cover change in tropical regions. Annu Rev Environ Resour 8:205–241

    Google Scholar 

  • Eugenia K, Cai M (2003) Impact of urbanization and land-use change on climate. Nature 423:528–531

    Article  Google Scholar 

  • Fang H, Liu G, Kearney M (2005) Geo-relational analysis of soil type, soil salt content, landform, and land use in the Yellow River Delta, China. Environ Manage 35(1):72–83

    Article  Google Scholar 

  • Feng YJ, Liu Y, Han Z (2011) Land use simulation and landscape assessment by using genetic algorithm Based on cellular automata different sampling schemes. Chin J Appl Ecol 22(4):957–963 (in Chinese with English abstract)

    Google Scholar 

  • Gaaff A, Reinhard S (2012) Incorporating the value of ecological networks into cost–benefit analysis to improve spatially explicit land-use planning. Ecol Econ 73(15):66–74

    Article  Google Scholar 

  • Guan M (2008) Research and analysis of complex networks statistical regularity for internet. Comput Eng 34(21):92–94, 97

    Google Scholar 

  • Han M, Zhang XH, Liu LY (2006) Research progress on wetland of the Yellow River Delta. Ecol Environ 15(4):872–875 (in Chinese with English abstract)

    Google Scholar 

  • He N, Li DY, Gan WY, Zhu X (2007) Mining vital nodes in complex networks. Comput Sci 34(12):1–5

    Google Scholar 

  • Kevin ET (2004) Climatology (communication arising): rural land-use change and climate. Nature 427:213

    Google Scholar 

  • Li Q, Wang G, Liu J, Chen S (2009) Robust scale-invariant feature matching for remote sensing image registration. IEEE Geosci Remote Sens Lett 6:287–291

    Article  Google Scholar 

  • Liu JY, Liu ML, Deng XZ, Zhuang DF, Luo D (2002) The land-use and land-cover change database and its relative studies in China. J Geogr Sci 12(3):275–282

    Article  Google Scholar 

  • Liu JY, Zhuang DF, Luo D, Xiao X (2003) Land-cover classification of China: integrated analysis of AVHRR imagery and geo-physical data. Int J Remote Sens 24(12):2485–2500

    Article  Google Scholar 

  • Madhushree M, Sumedha M, Gracy O, Joshi PK (2010) A landscape approach for quantifying land-use and land-cover change (1976–2006) in middle Himalaya. Reg Environ Chang 10:145–155

    Article  Google Scholar 

  • Paul SM, Kylie AP, Andrew DO, David R, Rod MC (2015) Identifying habitats at risk: simple models can reveal complex ecosystem dynamics. Ecol Appl 25:573–587

    Article  Google Scholar 

  • Pijanowskia BC, Daniel GB, Bradley AS, Gaurav AM (2002) Using neural networks and GIS to forecast land use changes: a land transformation mode. Comput Environ Urban Syst 26(6):553–575

    Article  Google Scholar 

  • Qin Y, Yang ZF, Yang W (2011) Ecological risk assessment for water scarcity in China’s Yellow River Delta Wetland. Stoch Environ Res Risk Assess 25:697–711

    Article  Google Scholar 

  • Rindfuss RR, Walsh SJ, Turner BL, Jefferson F, Vinod M (2004) Developing a science of land change: challenges and methodological issues. Proc Natl Acad Sci U S A 101(39):13976–13981

    Article  Google Scholar 

  • Sean LT, Camilla W, Mota F (2014) Land-use intensity and the effects of organic farming on biodiversity: a hierarchical meta-analysis. J Appl Ecol 51:746–755

    Article  Google Scholar 

  • Serra P, Pons X, Sauri D (2003) Post-classification change detection with data from different sensors: some accuracy considerations. Int J Remote Sens 24:3311–3340

    Article  Google Scholar 

  • Shi PJ, Yuan Y, He CY, Li XB, Chen Y (2004) Land use pattern adjustment under ecological security: look for secure land use pattern in China. Geogr Rev Jpn 77(12):866–882

    Article  Google Scholar 

  • Simitkumar R, Ali S (2015) A monitoring framework for land use around kaolin mining areas through Landsat TM images. Earth Sci Inf 8:63–76

    Article  Google Scholar 

  • Sundara KSG, Swati K (2013) Can wetlands maintained for human use also help conserve biodiversity? Landscape-scale patterns of bird use of wetlands in an agricultural landscape in north India. Biol Conserv 168:49–56

    Article  Google Scholar 

  • Tang JT, Wang T (2008) Research on the approximation algorithms for the betweenness property computation on complex social networks. Comput Eng Sci 30(12):9–14

    Google Scholar 

  • Tavares AO, Pato RL, Magalhães MC (2012) Spatial and temporal land use change and occupation over the last half century in a peri-urban area. Appl Geogr 34:432–444

    Article  Google Scholar 

  • Wang MJ, Qi SZ, Zhang XX (2012) Wetland loss and degradation in the Yellow River Delta, Shandong Province of China. Environ Earth Sci 67:185–188

    Article  Google Scholar 

  • Wei X, Sun FH, Huang LP (2006) History, present situtation and future of studies on land resources in China. J Zhejiang Norm Univ (Soc Sci) 3(31):21–25 (in Chinese with English abstract)

    Google Scholar 

  • William SB, Dylan CK, Elisabeth BW, Andrew HR, Luke WN, Dale D (2014) The role of protected area wetlands in waterfowl habitat conservation: implications for protected area network design. Biol Conserv 176:144–152

    Article  Google Scholar 

  • Wu PF, Gong HL, Zhou DM (2012a) Land use and land cover change in watershed of Guanting Reservoir based on complex network. Acta Geograph Sin 67(1):113–121 (in Chinese with English abstract)

    Google Scholar 

  • Wu H, Zhou L, Chi X, Li Y, Sun YR (2012b) Quantifying and analyzing neighborhood configuration characteristics to cellular automata for land use simulation considering data source error. Earth Sci Inf 5:77–86

    Article  Google Scholar 

  • Yang X, Zheng XQ, Chen R (2014) A land use change model: integrating landscape pattern indexes and Markov-CA. Ecol Model 283:1–7

    Article  Google Scholar 

  • Yu L, Zhang D, Holden EJ (2008) A fast and fully automatic registration approach based on point features for multi-source remote-sensing images. Comput Geosci 34:838–848

    Article  Google Scholar 

  • Yu JB, Chen XB, Sun ZG, Xie WJ, Mao PL, Wu CF, Dong HF, Mu XJ, Li YZ, Guan B, Shan K (2010) The spatial distribution characteristics of soil nutrients in new-born coastal wetland in Yellow River delta. Acta Sci Circumst 30(4):855–861 (in Chinese with English abstract)

    Google Scholar 

  • Zhang Y (2011) Coastal environmental monitoring using remotely sensed data and GIS techniques in the Modern Yellow River delta, China. Environ Monit Assess 179:15–29

    Article  Google Scholar 

  • Zhang X, Ye S, Yin P, Chen D (2009) Characters and successions of natural wetland vegetation in Yellow River Delta. Ecol Environ Sci 18(1):292–298

    Google Scholar 

  • Zhang T, Zhang XN, Xia DZ, Liu Y (2014) An analysis of land use change dynamics and its impacts on hydrological processes in the Jialing River Basin. Water 6(12):3758–3782

    Article  Google Scholar 

  • Zhao X, Cui B, Sun T, He Q (2010) The relationship between the spatial distribution of vegetation and soil environmental factors in the tidal creek areas of the Yellow River Delta. Ecol Environ Sci 19(8):1855–1861

    Google Scholar 

  • Zorrilla MP, Palomoa I, Gómez BE, Martí LB, Lomasc PL, Montesa C (2014) Effects of land-use change on wetland ecosystem services: a case study in the Doñana marshes (SW Spain). Landsc Urban Plan 122:160–174

    Article  Google Scholar 

Download references

Acknowledgments

We thank anonymous reviewers for constructive comments and suggestions. And special thanks to Prof. Lawrence Theller and Prof. Bernard A. Engel (Department of Agricultural and Biological Engineering, Purdue University) for many useful insights. The research was supported by National Natural Science Foundation of China (No. 41401663), Natural Science Foundation of Shandong Province (No.2010ZRE14029), China Social Science University Humanity Foundation (No.11YJC790283 and No. 12YJC790254) and Excellent Young Scholars Research Fund of Shandong Normal University.

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Authors and Affiliations

  1. College of population, Resources and Environment, Shandong Normal University, Jinan, People’s Republic of China

    Baolei Zhang & Le Yin

  2. Institute of Regional Economic Research, Shandong University of Finance and Economics, Jinan, People’s Republic of China

    Shumin Zhang

  3. Chinese Research Academy of Environmental Sciences, Beijing, People’s Republic of China

    Chaoyang Feng

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  1. Baolei Zhang
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  2. Le Yin
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  3. Shumin Zhang
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  4. Chaoyang Feng
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Correspondence to Chaoyang Feng.

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Communicated by: H. A. Babaie

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Zhang, B., Yin, L., Zhang, S. et al. Assessment on characteristics of LUCC process based on complex network in Modern Yellow River Delta, Shandong Province of China. Earth Sci Inform 9, 83–93 (2016). https://doi.org/10.1007/s12145-015-0234-2

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